Triple

T1842810
Position Surface form Disambiguated ID Type / Status
Subject Howells E41212 entity
Predicate relatedName P3889 FINISHED
Object Howell
Howell is a surname and given name of Welsh origin that has been borne by numerous notable individuals across politics, sports, arts, and other fields.
E207275 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Howell | Statement: [Howells, relatedName, Howell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howell
Context triple: [Howells, relatedName, Howell]
  • A. Bloomfield
    Bloomfield is a small city in southeastern Iowa that serves as the county seat of Davis County.
  • B. Cherry Hill
    Cherry Hill is a suburban township in southern New Jersey known as a major residential and commercial hub just outside Philadelphia.
  • C. Halstead
    Halstead is a historic market town in the county of Essex in the East of England.
  • D. Allendale
    Allendale is a small census-designated community located in Solano County in Northern California.
  • E. Woodhaven
    Woodhaven is a residential neighborhood in the borough of Queens, New York City, known for its diverse community and proximity to major transit lines and Forest Park.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Howell
Triple: [Howells, relatedName, Howell]
Generated description
Howell is a surname and given name of Welsh origin that has been borne by numerous notable individuals across politics, sports, arts, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Howell
Target entity description: Howell is a surname and given name of Welsh origin that has been borne by numerous notable individuals across politics, sports, arts, and other fields.
  • A. Bloomfield
    Bloomfield is a small city in southeastern Iowa that serves as the county seat of Davis County.
  • B. Cherry Hill
    Cherry Hill is a suburban township in southern New Jersey known as a major residential and commercial hub just outside Philadelphia.
  • C. Halstead
    Halstead is a historic market town in the county of Essex in the East of England.
  • D. Allendale
    Allendale is a small census-designated community located in Solano County in Northern California.
  • E. Woodhaven
    Woodhaven is a residential neighborhood in the borough of Queens, New York City, known for its diverse community and proximity to major transit lines and Forest Park.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb04eb0748190b226f932e544925f completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1c482908190b940497fc5d5db60 completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add2ac44f48190bd62c504b31210e8 completed March 8, 2026, 7:49 p.m.
NED2 Entity disambiguation (via description) batch_69add305bd108190b5e7e0f3d30a2c58 completed March 8, 2026, 7:50 p.m.
Created at: March 4, 2026, 7:33 p.m.